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significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
costs increased » cases increased (Expand Search), content increased (Expand Search), confers increased (Expand Search)
linear decrease » linear increase (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
costs increased » cases increased (Expand Search), content increased (Expand Search), confers increased (Expand Search)
linear decrease » linear increase (Expand Search)
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DDC for four anticoagulants from 2019 to 2023.
Published 2025“…<div><p>Background</p><p>With the increasing utilization of anticoagulants, the selection of appropriate anticoagulants has emerged as a significant quandary. …”
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Additional questions on vaccination.
Published 2025“…Descriptive statistics were performed. Chi-square test and linear regression were used to assess the association between KAP and sociodemographic factors with significance set at p < 0.05.…”
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The raw data file.
Published 2025“…Descriptive statistics were performed. Chi-square test and linear regression were used to assess the association between KAP and sociodemographic factors with significance set at p < 0.05.…”
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Scores vs Skip ratios on single-agent task.
Published 2025“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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Time(s) and GFLOPs savings of single-agent tasks.
Published 2025“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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The source code of LazyAct.
Published 2025“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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Win rate vs Skip ratios on multi-agents tasks.
Published 2025“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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Visualization on SMAC-25m based on <i>LazyAct</i>.
Published 2025“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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Single agent and multi-agents tasks for <i>LazyAct</i>.
Published 2025“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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Network architectures for multi-agents task.
Published 2025“…Specifically, each decision made by an agent requires a complete neural network computation, leading to a linear increase in computational cost with the number of interactions and agents. …”
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Theoretical framework.
Published 2025“…Holding other variables constant, a one-unit increase in demand and supply side risks results in 19.1% and 13.1% lead to decrease in operational performance of manufacturing companies, respectively. …”
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Supplementary file survey questioner annex.
Published 2025“…Holding other variables constant, a one-unit increase in demand and supply side risks results in 19.1% and 13.1% lead to decrease in operational performance of manufacturing companies, respectively. …”
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Benchmark regression results.
Published 2024“…The findings reveal that: (1) At this stage, digital transformation in listed companies effectively reduces their carbon intensity, but the relationship between the two is not linear; instead, it exhibits a U-shaped trajectory, initially decreasing then increasing. (2) Analysis of mechanism indicates that costs associated with environmental governance and innovations in green technology serve as critical pathways through which corporate digital transformation influences carbon intensity. (3) The analysis of driving effect suggests that the digital transformation significantly curtails the carbon emission intensity of both upstream and downstream enterprises as well as those within the same industry and geographical region, through industrial linkage and the cohort effect. (4) Heterogeneity analysis elucidates that the digital transformation of enterprises in regions with stronger government environmental regulations has a markedly more pronounced effect on reducing the carbon emission intensity. …”